Overview
On Site
$140,000 - $170,000
Full Time
100% Travel
Skills
API
Artificial Intelligence
C#
Cosmos-Db
Docker
Kubernetes
OAuth
Microsoft Azure
Machine Learning (ML)
DevOps
Python
SQL Azure
Salesforce.com
Semantics
LlamaIndex
LangChain
Optimization
Vector Databases
Technical Writing
Software Development
JWT
secure API
Azure SQL
Pinecone
FAISS
Weaviate
Azure Cognitive Search
Azure Bot Services
Azure Machine Learning
Azure OpenAI
FastAPI
Einstein
OpenAI
Retrieval-Augmented Generation (RAG)
Azure AIServices
Azure Functions
Azure Kubernetes Services(AKS)
Proof-of-Concepts (POCs)
Job Details
AI Lead
Job Description-
We are seeking a skilled and experienced AI Architect with a strong background in AI development, Azure services, and OpenAI technologies. The ideal candidate will bring
deep expertise in Python, FastAPI, and Retrieval-Augmented Generation (RAG) solutions, with hands-on experience deploying scalable AI applications on Azure. This
role will lead the design, development, and optimization of AI-powered chatbots and solutions for enterprise environments.
We are seeking a skilled and experienced AI Architect with a strong background in AI development, Azure services, and OpenAI technologies. The ideal candidate will bring
deep expertise in Python, FastAPI, and Retrieval-Augmented Generation (RAG) solutions, with hands-on experience deploying scalable AI applications on Azure. This
role will lead the design, development, and optimization of AI-powered chatbots and solutions for enterprise environments.
Years of experience :- 8 + Years
Roles and Responsibilities :-
Lead the design and deployment of RAG-based AI chatbots leveraging Azure OpenAI, Azure Cognitive Search, and vector databases.
Architect and develop APIs using Python (FastAPI), integrating OpenAI, Azure AI Services, and external systems.
Deliver scalable AI applications using Azure Functions, Azure Kubernetes Services (AKS), and Cognitive Services.
Create rapid prototypes and Proof-of-Concepts (POCs) with full technical documentation.
Continuously monitor and optimize AI workloads for performance, scalability, and cost- efficiency.
Collaborate with cross-functional teams to integrate AI components into enterprise applications.
Provide technical leadership, mentorship, and code reviews within the AI development team.
Roles and Responsibilities :-
Lead the design and deployment of RAG-based AI chatbots leveraging Azure OpenAI, Azure Cognitive Search, and vector databases.
Architect and develop APIs using Python (FastAPI), integrating OpenAI, Azure AI Services, and external systems.
Deliver scalable AI applications using Azure Functions, Azure Kubernetes Services (AKS), and Cognitive Services.
Create rapid prototypes and Proof-of-Concepts (POCs) with full technical documentation.
Continuously monitor and optimize AI workloads for performance, scalability, and cost- efficiency.
Collaborate with cross-functional teams to integrate AI components into enterprise applications.
Provide technical leadership, mentorship, and code reviews within the AI development team.
Qualifications & Skills:-
8 10 years of overall software development experience with 2 3 years working on OpenAI and Retrieval-Augmented Generation (RAG) architectures.
Proficiency in Salesforce and Einstein
Proficiency in Python and FastAPI (mandatory); C# is a plus.
Extensive hands-on experience with Azure OpenAI, Azure Cognitive Search, Azure Bot Services, and Azure Machine Learning.
Knowledge of vector databases like Pinecone, FAISS, or Weaviate.
Experience with Azure SQL, CosmosDB, and scalable backend architecture.
Familiarity with LangChain, LLamaIndex, and Microsoft Semantic Kernel (preferred).
Solid grasp of DevOps practices using Azure DevOps, Docker, and Kubernetes.
Strong understanding of secure API integration (OAuth, JWT).
Experience with Salesforce and Agentforce integrations.
Demonstrated ability to translate business needs into technical AI solutions and communicate clearly with stakeholders.
Proficiency in Salesforce and Einstein
Proficiency in Python and FastAPI (mandatory); C# is a plus.
Extensive hands-on experience with Azure OpenAI, Azure Cognitive Search, Azure Bot Services, and Azure Machine Learning.
Knowledge of vector databases like Pinecone, FAISS, or Weaviate.
Experience with Azure SQL, CosmosDB, and scalable backend architecture.
Familiarity with LangChain, LLamaIndex, and Microsoft Semantic Kernel (preferred).
Solid grasp of DevOps practices using Azure DevOps, Docker, and Kubernetes.
Strong understanding of secure API integration (OAuth, JWT).
Experience with Salesforce and Agentforce integrations.
Demonstrated ability to translate business needs into technical AI solutions and communicate clearly with stakeholders.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.